| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[5]
46
adaptive
PyclusteringXMeans(initial_centers=[array([ 5. , 11. , 0.32132132, 0.35315315, 0.07147147,
0.27443609, 0.36842105, 0.41395349, 0.46663191, 5. ,
0.67180584, 0.49976315, 0.16396399, 0.51149205, 0.02432506]),
array([4.20000000e+01, 4.20000000e+01, 7.01125900e-02, 5.89559877e-01,
8.39304000e-02, 3.18181818e-01, 5.35353535e-01, 8.38150289e-01,
4.45641417e-01, 4.20000000e+01, 7.37098962e-01, 6.32559664e-01,
3.34970430e-02, 4.93774375e-01, 6.44650000e-03])])
None
1
586
1475
5199
2068
precinct, ward, HVAP_pct, WVAP_pct, BVAP_pct, GARCIA_G15_pct, EMAN_G15_pct, RO_EMAN_G15_pct, normalized_log_area, PRECINCT, normalized_centroid_x, normalized_centroid_y, uninsured_pct, female_pct, veteran_pct
mean